Instructions to use thalllsssss/20d6d133-8ab6-494b-8fdd-5acaa24ce750 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thalllsssss/20d6d133-8ab6-494b-8fdd-5acaa24ce750 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Korabbit/llama-2-ko-7b") model = PeftModel.from_pretrained(base_model, "thalllsssss/20d6d133-8ab6-494b-8fdd-5acaa24ce750") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0c36e6bc1f901d64920d27b91102e8bc5fe39188ea3e1139dd176f147de7759
- Size of remote file:
- 6.78 kB
- SHA256:
- a8e578368718eedab2acc0888421c6f0fad358ec5c6078fb8533a8889b266649
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